Hybrid Inference Normalizes

General Compute's split between GPUs and Positron hardware becomes a pragmatic cost-optimization model rather than a wholesale replacement of Nvidia-class accelerators. The most likely outcome is a workload-by-workload allocation where GPUs remain dominant for latency-sensitive and model-flexible jobs while Positron wins predictable inference flows.

Each figure is the modeled move of the S&P 500 if the outcome occurs. For information only. Not investment advice.